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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8270
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    Explanations

    legal cases with reported verdicts

    oai_token-act-pair · gpt-3.5-turbo

    instances of legal case citations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ptoms
    -0.73
     cleaner
    -0.68
     refres
    -0.66
    bsite
    -0.65
    keeping
    -0.63
     backstage
    -0.63
    reditary
    -0.63
     resear
    -0.62
     mustard
    -0.62
     pointer
    -0.60
    POSITIVE LOGITS
    arsity
    0.85
    Sphere
    0.82
    iii
    0.78
    cv
    0.76
    ented
    0.75
    Bul
    0.75
    iably
    0.75
    alkyrie
    0.74
    iking
    0.73
    incent
    0.73
    Activations Density 0.011%

    No Known Activations